code: def is_numerical_tensor(t):
      return t.dtype != tf.string
  
file_path: finetune/finetune/util/optimize_loss.py
imports: import logging
  import tensorflow
  from finetune.optimizers.adafactor import AdafactorOptimizer
  from finetune.optimizers.gradient_accumulation import get_grad_accumulation_optimizer
  from finetune.optimizers.learning_rate_schedules import schedules
  from finetune.optimizers.weight_decay import AdamW
label_desc: Use image node_id 3 for calling a global function with example usage: is_numerical_tensor(t) and returns: unknown